hmsr
1.0.1Multipopulation Evolutionary Strategy HMS
Overview
The HMS (Hierarchic Memetic Strategy) is a composite global optimization strategy consisting of a multi-population evolutionary strategy and some auxiliary methods. The HMS makes use of a dynamically-evolving data structure that provides an organization among the component populations. It is a tree with a fixed maximal height and variable internal node degree. Each component population is governed by a particular evolutionary engine. This package provides a simple R implementation with examples of using different genetic algorithms as the population engines. References: J. Sawicki, M. Łoś, M. Smołka, J. Alvarez-Aramberri (2022) doi:10.1007/s11047-020-09836-w.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 99%
- Return-value docs
- 100%
- References docs
- 0%
Downloads
Repository
Repository practices
4 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/wojtacht/hms on 2026-08-16.
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.0.1Latest
- 1.0.02023-10-12
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2023-10-12
- Total releases
- 2 / 3 yrs
- License
- MIT + file LICENSE OSI
- Download size
- 24 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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